计算机科学 ›› 2018, Vol. 45 ›› Issue (2): 140-146.doi: 10.11896/j.issn.1002-137X.2018.02.025

• 第六届全国智能信息处理学术会议 • 上一篇    下一篇

基于SLE范式的社群化制造计算实验比较研究

施曼,王俊峰,薛霄,周长兵   

  1. 河南理工大学计算机科学与技术学院 河南 焦作454000,河南理工大学计算机科学与技术学院 河南 焦作454000,河南理工大学计算机科学与技术学院 河南 焦作454000,中国地质大学北京信息工程学院 北京 100083
  • 出版日期:2018-02-15 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金资助

Comparative Research on Computational Experiment of Social Manufacturing Based on Social Learning Evolution Paradigm

SHI Man, WANG Jun-feng, XUE Xiao and ZHOU Chang-bing   

  • Online:2018-02-15 Published:2018-11-13

摘要: 在互联社会背景下,先进的制造模式需要从信息、社交和服务等方面实现企业内部、跨企业间的协作。社群化制造作为 一种适应未来社会化、服务化和大规模个性化制造环境的新型制造模式,将解决未来制造业中多参与主体资源共享、协作与交互等问题,因此对其进行研究具有重要意义。然而,社群化制造系统的复杂性又会导致其建模困难以及协作策略难以评估等问题,这引起了众多研究者的关注。因此,提出一种基于SLE范式的社群化制造计算模型,包括个体模型、交互模型与社会模型3个部分,并进一步引入了“计算实验”的思想,通过计算实验验证了这种计算模型是有效且可行的,对社群化制造的研究起到了一定的推动作用。

关键词: 社群化制造,SLE范式,计算模型,计算实验,演化

Abstract: Under the background of the Internet society,the advanced manufacturing models need to realize collaboration between intra-firm and inter-enterprise from information,social and services.As a new type of manufacturing mode,social manufacturing can adapt to the future socialization,service and large-scale personalized manufacturing environment,and it can solve the problem of multi-participants’ resource sharing,collaboration and interaction in the future manufacturing industry,so it is important to research on this issue.However,the complexity of the social manufacturing system has led to the difficulties of modeling and evaluating the cooperation strategy which has attracted the attention of many researchers.Therefore,this paper presented a social manufacturing computing model based on SLE paradigm including three parts:individual model,interaction model and social model,and further introduced the idea of computatio-nal experiment.The calculation of experiment shows that this model is feasible and effective.It plays a role in promoting the research of social manufacturing.

Key words: Social manufacturing,SLE paradigm,Computational model,Computational experiment,Evolution

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